Rabin Karp algorithm is a search algorithm that searches for a substring pattern in a text using hashing. It is beneficial for matching words with many patterns. One of the practical applications of Rabin Karp's algorithm is in the detection of plagiarism. Michael O. Rabin and Richard M. Karp invented the algorithm. This algorithm performs string search by using a hash function. A hash function is the values that are compared between two documents to determine the level of similarity of the document. Rabin-Karp algorithm is not very good for single pattern text search. This algorithm is perfect for multiple pattern search. The Levenshtein algorithm can be used to replace the hash calculation on the Rabin-Karp algorithm. The hash calculation on Rabin-Karp only counts the number of hashes that have the same value in both documents. Using the Levenshtein algorithm, the calculation of the hash distance in both documents will result in better accuracy.

Arduino Uno water turbidity gauge has been successfully designed and manufactured. This tool is made using LDR as sensor and led as a light source to measure the water turbidity value and Arduino Uno for data processing. The existence of this tool is already familiar and comfortable to find. However, the price is relatively higher to make this tool is only owned by certain circles only. Nephelometric Method is a method of measuring the turbidity of water by passing a light source on water so that the intensity of light reflected by the substances causing turbidity can be known. With the use of led as a light source and photodiode as a light detector, and combined with processing using Arduino Uno then the voltage obtained from the LDR sensor in the form of analog data is processed into digital data and can be displayed in the LCD.

The development and utilization of information technology is also used in a way that aims to increase the faith and piety of Muslims in this millennial era. In this digital era, many Muslims are starting to neglect to participate in majlis taklim activities. In this case, the use of the technology used is aimed at increasing the percentage of the majlis taklim congregation which is in the form of a reminder application. This majlis taklim reminder application is an application built using the geofencing method on Android. This application aims to provide reminders in the form of notifications of majlis taklim activities held to users and to make it easier for the majlis taklim committee to disseminate information on the majlis taklim activities that are held. The use of the geofencing method in question is a method used to provide a defined location boundary so as to provide a trigger in the form of a notification to users who are within the boundaries of the area. The notification received by the user is the location of the activity, so it is hoped that this majlis taklim reminder application can increase the percentage of majlis taklim congregations.

Multimedia is an amalgamation of several components, namely text, audio, animation and video with digital processes managed by computers. Animation is one of the components contained in multimedia, to convey information and as a means of entertainment. In animation, there are various kinds of images that are given commands so as to form movements or movements according to the specified duration so as to create the illusion of motion of the image. Along with the development of technology and scientific branches, the development of animation also has an impact. One of them is how the animation technique is presented so that it looks lively, interesting, and has a deep meaning so that it is easier for the audience to understand. This study aims as a case study to present the stages that can be done in order to create an interesting animation by adhering to the 12 principles of animation by Frank Thomas and Ollie Johnston Disney animators as well as the application of the motion graphic method, namely pieces of digital recording combined with the illusion of motion and images in animation using qualitative descriptive methods.

In improving the quality of education in tertiary institutions, one of the efforts made to make it happen is to place qualified and professional educators or lecturers at these universities. A lecturer must have the ability to carry out the tridharma of higher education. A lecturer must also be able to follow the development of science and always be able to develop himself and have good teaching skills according to his field of knowledge, from planning, implementation to evaluation of learning. To predict the performance of lecturers using the Backpropagation Neural Networks algorithm. The design of the application to predict the performance of lecturers with the Backpropagation Neural Networks algorithm is done by determining the number of units for each layer. After the network is formed, training is carried out from the patterned data. Tests were carried out using Matlab software with several forms of network architecture. The architecture with the best configuration consists of 24 input layers, 20 hidden layers and 5 output layers. The results obtained from the test are predictions of lecturer performance which consist of Very Poor, Less, Enough, Good, Very Good. This assessment serves to evaluate the performance of lecturers in each semester at higher education institutions. with a test accuracy of 95%.